Literature DB >> 19407259

Expanded prediction equations of human sweat loss and water needs.

R R Gonzalez1, S N Cheuvront, S J Montain, D A Goodman, L A Blanchard, L G Berglund, M N Sawka.   

Abstract

The Institute of Medicine expressed a need for improved sweating rate (msw) prediction models that calculate hourly and daily water needs based on metabolic rate, clothing, and environment. More than 25 years ago, the original Shapiro prediction equation (OSE) was formulated as msw (g.m(-2).h(-1))=27.9.Ereq.(Emax)(-0.455), where Ereq is required evaporative heat loss and Emax is maximum evaporative power of the environment; OSE was developed for a limited set of environments, exposures times, and clothing systems. Recent evidence shows that OSE often overpredicts fluid needs. Our study developed a corrected OSE and a new msw prediction equation by using independent data sets from a wide range of environmental conditions, metabolic rates (rest to <or=450 W/m2), and variable exercise durations. Whole body sweat losses were carefully measured in 101 volunteers (80 males and 21 females; >500 observations) by using a variety of metabolic rates over a range of environmental conditions (ambient temperature, 15-46 degrees C; water vapor pressure, 0.27-4.45 kPa; wind speed, 0.4-2.5 m/s), clothing, and equipment combinations and durations (2-8 h). Data are expressed as grams per square meter per hour and were analyzed using fuzzy piecewise regression. OSE overpredicted sweating rates (P<0.003) compared with observed msw. Both the correction equation (OSEC), msw=147.exp (0.0012.OSE), and a new piecewise (PW) equation, msw=147+1.527.Ereq-0.87.Emax were derived, compared with OSE, and then cross-validated against independent data (21 males and 9 females; >200 observations). OSEC and PW were more accurate predictors of sweating rate (58 and 65% more accurate, P<0.01) and produced minimal error (standard error estimate<100 g.m(-2).h(-1)) for conditions both within and outside the original OSE domain of validity. The new equations provide for more accurate sweat predictions over a broader range of conditions with applications to public health, military, occupational, and sports medicine settings.

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Year:  2009        PMID: 19407259     DOI: 10.1152/japplphysiol.00089.2009

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  12 in total

1.  Sweat loss prediction using a multi-model approach.

Authors:  Xiaojiang Xu; William R Santee
Journal:  Int J Biometeorol       Date:  2010-10-04       Impact factor: 3.787

2.  American football and fatal exertional heat stroke: a case study of Korey Stringer.

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Journal:  Int J Biometeorol       Date:  2017-03-17       Impact factor: 3.787

Review 3.  Partitional calorimetry.

Authors:  Matthew N Cramer; Ollie Jay
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4.  The evaporative requirement for heat balance determines whole-body sweat rate during exercise under conditions permitting full evaporation.

Authors:  Daniel Gagnon; Ollie Jay; Glen P Kenny
Journal:  J Physiol       Date:  2013-03-04       Impact factor: 5.182

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6.  National Athletic Trainers' Association Position Statement: Fluid Replacement for the Physically Active.

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Review 7.  Nutritional approaches to counter performance constraints in high-level sports competition.

Authors:  Louise M Burke
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Authors:  Sébastien Racinais; Juan-Manuel Alonso; Aaron J Coutts; Andreas D Flouris; Olivier Girard; José González-Alonso; Christophe Hausswirth; Ollie Jay; Jason K W Lee; Nigel Mitchell; George P Nassis; Lars Nybo; Babette M Pluim; Bart Roelands; Michael N Sawka; Jonathan Wingo; Julien D Périard
Journal:  Sports Med       Date:  2015-07       Impact factor: 11.136

9.  Consensus recommendations on training and competing in the heat.

Authors:  S Racinais; J M Alonso; A J Coutts; A D Flouris; O Girard; J González-Alonso; C Hausswirth; O Jay; J K W Lee; N Mitchell; G P Nassis; L Nybo; B M Pluim; B Roelands; M N Sawka; J Wingo; J D Périard
Journal:  Br J Sports Med       Date:  2015-06-11       Impact factor: 13.800

10.  Body size and its implications upon resource utilization during human space exploration missions.

Authors:  Jonathan P R Scott; David A Green; Guillaume Weerts; Samuel N Cheuvront
Journal:  Sci Rep       Date:  2020-08-14       Impact factor: 4.379

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